Measuring the relative efficiency of Taibah University faculties using the Data Encapsulated Model (DEA)

Authors

DOI:

https://doi.org/10.35516/edu.v51i4.8045

Keywords:

relative efficiency, data envelope analysis, fixed volume yields, variable volume returns, Taibah University.

Abstract

Objectives: The study aims to measure the relative efficiency of the colleges at Taibah University using Data Encapsulated Model (DEA).

Method: The study adopted a quantitative analytical approach using Data Envelopment Analysis (DEA) with both input- and output-oriented approaches, according to Constant Returns to Scale (CRS) and Variable Returns to Scale (VRS). The study population included all colleges at Taibah University except for the College of Education and the Applied College for the academic year 2023, totaling 21 colleges. A comprehensive survey method was used, with all colleges representing the research sample. Three inputs were selected for each college: (1) the number of enrolled students, (2) the number of faculty members and their equivalents, and (3) the number of administrative and technical staff. The outputs were: (1) the number of graduates and (2) the number of published research papers.

Results:   The study showed that the average relative technical efficiency of the colleges at Taibah University in the study sample was 0.837 according to Constant Returns to Scale (CRS) for the input-oriented model, 0.857 according to Variable Returns to Scale (VRS) for the input-oriented model, 0.841 according to Constant Returns to Scale (CRS) for the output-oriented model, and 0.857 according to Variable Returns to Scale (VRS) for the output-oriented model.

Conclusion: Based on the study's findings, it is recommended to develop future plans to improve the relative efficiency of the colleges that achieved below-average efficiency or whose efficiency was found to be declining.

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Published

2024-12-15

How to Cite

Albadraniy, B. S. S. (2024). Measuring the relative efficiency of Taibah University faculties using the Data Encapsulated Model (DEA) . Dirasat: Educational Sciences, 51(4), 155–173. https://doi.org/10.35516/edu.v51i4.8045

Issue

Section

Foundations and Educational Leadership
Received 2024-06-27
Accepted 2024-08-21
Published 2024-12-15